Postdoctoral Researcher Video team

Janssen Research & Development LLC, a Johnson & Johnson company, is recruiting a postdoctoral researcher to join the Video Understanding team.

Positions are available in the US (Titusville, NJ; Raritan, NJ; La Jolla, CA; Cambridge, MA; New York, NY; Spring House, PA) or Europe (UK, Netherlands, Switzerland, Austria).

Remote arrangements will also be considered.

• Job Locations
• Barcelona, Spain
• Beerse, Antwerp, Belgium
• London, United Kingdom
• NEUSS, Germany
• Zug, Switzerland

Key Responsibilities

• Conceive, develop, and implement ideas with key internal clinical personnel to understand needs and use cases around AI tools for endoscopy.
• Design, develop, and evaluate deep‑learning models for medical video and image understanding (scoring, segmentation, and detection).
• Lead the research and development of uncertainty quantification methods for model predictions (e. g., Bayesian approaches, ensembles, calibration metrics, predictive intervals) and integrate uncertainty estimates to quantify the reliability and confidence of AI‑driven diagnostic model outputs.
• Develop advanced multi‑modal models for video analysis, integrating data from endoscopy, ultrasound, intestinal ultrasound (IUS), and Magnetic Resonance Enterography (MRE).
• Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making.
• Participate in cross‑functional team meetings, drive discussion and follow‑up questions to collaborators, and compile answers into briefing reports.
• Extract insights from collections of briefing reports focusing on the business value of AI pipelines for immunology.
• Required Qualifications
• A Ph. D. degree in a quantitative discipline (e. g., Physics, mathematics, computer science, electrical engineering, or similar).
• Demonstrated experience driving research in and applying Computer Vision techniques (e. g., Transformers, CNNs, RNNs, GANs).
• Proven expertise in uncertainty model and measures development, including techniques for uncertainty quantification in deep learning.
• Demonstrated experience with state‑of‑the‑art techniques for video understanding (e. g., foundational models, transformers).
• Proficiency with one or more programming languages such as Python or C++.
• Extensive experience with traditional Computer Vision applications, such as Open CV, object detection, edge detection, image segmentation.
• Experience with machine‑learning algorithms, including random forest, SVM, boosting, neural networks, etc.
• Strong publication record and ability to effectively communicate technical work to a wide audience.
• Preferred Qualifications
• Domain knowledge and experience with medical videos such as endoscopy.
• Experience with medical imaging modalities including ultrasound, intestinal ultrasound (IUS), and Magnetic Resonance Enterography (MRE).
• Experience applying or adapting foundation/self‑supervised pretraining for medical domains (e. g., DINOv2, contrastive methods).
• Familiarity with clinical trial workflows, regulatory considerations, and working with clinical partners.
• Experience with multimodal AI; familiarity with and exposure to drug discovery and clinical development processes.
• Experience working closely with healthcare professionals.

Johnson & Johnson is an affirmative action and equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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